ChEA-KG: A network-based transcription factor enrichment analysis tool with time-series workflow capabilities
By
Byrd, Anna I, Evangelista, John Erol, Van Dusen, Andrew, Clarke, Daniel J B, Berrada, Maha, Jenkins, Sherry L, Ma’ayan, Avi
Summary
The article presents ChEA-KG, a network-based transcription factor (TF) enrichment analysis tool, along with an accompanying time-series workflow called ChEA-KG-TS. The tool generates enriched TF regulatory subnetworks for input gene sets, based on a gene regulatory network (GRN) connecting 1,559 human TFs via 131,181 signed and directed edges inferred from diverse published ChIP-seq data. This enables researchers to identify context-specific TF subnetworks and understand how TF modules evolve over time in normal physiology and disease.
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Key quotes
· 3 pulledTranscription factor (TF) modules interact to regulate key biological processes and cell-state transitions in normal physiology and disease.
To identify context-specific TF subnetworks, we developed ChEA-KG, which generates enriched TF regulatory subnetworks for input gene sets.
ChEA-KG is based on a GRN connecting 1559 human TFs via 131181 signed and directed edges inferred from diverse published ChIP-seq data.
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